Loading...

Machine Learning

461 learners

Modeling the Wine Dataset with PyTorch

Learn to model the Wine dataset with PyTorch in this detailed course. Start by preprocessing the data for PyTorch, then construct and train a multi-class classification model. Explore model evaluation with various metrics and plots to identify strengths and improvements. The course concludes with methods to save and deploy your model, maximizing PyTorch's features for practical application.

Python

PyTorch

Scikit-learn

See path

4 lessons

20 practices

3 hours

Deep Learning and Neural Networks

Course details

Preprocessing the Wine Dataset for PyTorch

Preview

Loading the Wine Dataset

Splitting the Wine Dataset

Wine Dataset Feature Scaling

Converting Data to PyTorch Tensors

Preprocessing Wine Data for PyTorch

Previous Course

Next Course: PyTorch Techniques for Model Optimization

Meet Cosmo:

The smartest AI guide in the universe

Our built-in AI guide and tutor, Cosmo, prompts you with challenges that are built just for you and unblocks you when you get stuck.

From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.